Senior MLOps Lead: Scale & Reliability

PathAI; New York (NY); Hybrid; USD 182,000 - 278,000; Full time

Job summary

PathAI invites an Associate Director, MLOps Lead to steer a team of 6-7+ engineers responsible for the backbone of the AI/ML stack. You will oversee high-scale training and inference workloads, cloud infrastructure, and reliability-focused architecture.

This role emphasizes collaboration across ML, data science, product engineering, and infrastructure, with a hybrid model based in Boston, MA. The position aligns with strategic scale and efficiency goals for PathAI's platform.

Qualifications

• 8–10+ years in Software/ML Engineering with 4+ years of people management and platform strategy.
• Experience building production-grade MLOps or ML infrastructure.
• Track record growing engineering teams and managing budgets/cloud costs.

Responsibilities

• Lead a 6-7+ engineer MLOps team to deliver scalable ML infrastructure.
• Develop and execute the long-term MLOps roadmap to support ML development and deployment.
• Collaborate with ML, data science, product engineering, and infrastructure to identify bottlenecks and deploy new solutions.
• Architect compute and storage pipelines for millions of slides and artifacts to prevent fragmentation and latency.

Skills

Kubernetes

Cloud platforms

MLOps

CI/CD for ML

Education

Bachelor’s or Master’s in CS

Tools

Airflow

Kubeflow

Terraform

Helm

Job description

PathAI invites an Associate Director, MLOps Lead to steer a team of 6-7+ engineers responsible for the backbone of the AI/ML stack. You will oversee high-scale training and inference workloads, cloud infrastructure, and reliability-focused architecture.

This role emphasizes collaboration across ML, data science, product engineering, and infrastructure, with a hybrid model based in Boston, MA. The position aligns with strategic scale and efficiency goals for PathAI's platform.